• Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.

    配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。

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  • SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.

    模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。

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  • A binary differential evolution algorithm with dual subpopulations algorithm for discrete optimization problems is proposed.

    提出了一种求解离散优化问题的双种群二进制微分进化算法。

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  • A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.

    提出了用于解决作业车间调度问题的离散版粒子群算法。

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  • Using a new range encoding mapping, the differential evolution algorithm can be used to deal with discrete optimization problem.

    其次,利用一种新的区间编码映射机制,将差异演化算法扩展到求解离散领域优化问题。

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  • A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.

    将相对差商法和混沌优化结合起来,形成求解离散变量桁架结构拓扑优化设计的混合算法。

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  • Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.

    蚁群算法是基于群体合作的一类仿生算法,适合于解困难的离散组合优化问题。

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  • Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.

    针对蚁群算法在求解连续优化问题上相对较弱的特点,提出了基于网格划分的蚁群算法,将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。

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  • This paper gives a simple classification of stochastic optimization problems, and then summarizes important algorithms for stochastic optimization in discrete and continuous parameters.

    本文给出了随机型优化问题的分类,并综述了离散参数和连续参数随机型优化问题中典型的求解算法。

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  • Based on the block bordered diagonal matrix structure, this paper presents a new discrete decomposition algorithm for the reactive-power optimization in a multi-area power system.

    基于对角加边矩阵结构,提出了一种新的多区域电力系统离散无功优化分解算法。

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  • PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.

    通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。

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  • A brief survey of the recent literature on discrete event simulation optimization is presented, and it separated into discrete and continuous input parameters.

    对离散事件动态系统研究的仿真优化方法的最新进展进行了综述。根据仿真输入参数,分为连续参数方法和离散参数方法两种进行讨论。

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  • We present an improved genetic algorithm(GA) for topology optimization of a truss with discrete sizing and under local buckling constraints.

    采用改进的遗传算法,求解了具有屈曲约束,尤其截面积是离散型的桁架拓扑优化。

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  • In chapter 4, a dynamic interval optimization method for discrete systems with interval parameters is presented.

    第四章针对具有区间参数的离散系统提出一种动力区间优化方法。

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  • An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.

    根据限流措施优化配置问题的特点,提出先对候选可开断支路采用枚举法求解支路开断的优化方案,再采用改进离散粒子群算法(MDPSO)求解综合限流方案。

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  • Moreover, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.

    提出一种离散变量结构优化设计的斐波那契算法,并与遗传算法结合在一起解决问题。

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  • For the sake of solving the optimization designing problems of discrete variables, a kind of discretized processing method of designing variables oriented to design and manufacturing has been adopted.

    为了解决离散变量优化设计问题,采用了一种面向设计、制造的设计变量离散化处理方法。

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  • A PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.

    通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。

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  • A new discrete designing method that enables single chip computers to implement parameter optimization controllers is presented in the paper.

    文章提出一种参数最优控制器的离散设计方法使单片机能实现参数最优控制器。

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  • The balancing optimization theory and methodology under this study may serve as a valuable reference for the design and optimization of assembly lines in discrete manufacturing enterprises.

    本文研究所采用的平衡优化技术与方法,对于一般离散型制造企业的装配生产线平衡设计具有理论指导意义和实际参考价值。

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  • In this paper, a new routing approach based on discrete particle swarm optimization algorithm is briefly discussed to obtain the optimum path between two nodes in the network.

    针对不同的网络实际条件,提出一种改进的离散粒子群算法来寻找网络中任意两个节点间的最优路由。

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  • A pheromone-based discrete particle swarm optimization algorithm was proposed borrowing the idea of pheromone refresh mechanism of ant colony algorithm.

    借鉴蚁群算法的信息素机制,提出了一种基于信息素机制的离散粒子群算法。

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  • Topology optimization of a continuum structure is essentially a 0-1 discrete variable optimization problem.

    连续体结构的拓扑优化本质上是一种0-1离散变量的组合优化问题。

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  • Topology optimization of a continuum structure is essentially a 0-1 discrete variable optimization problem.

    连续体结构的拓扑优化本质上是一种0-1离散变量的组合优化问题。

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